Direct profiling of the cerebellum by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry: A methodological study in postnatal and adult mouse

✍ Scribed by Claudine Laurent; Douglas F. Levinson; Sarah A. Schwartz; Peter B. Harrington; Sanford P. Markey; Richard M. Caprioli; Pat Levitt

• Publisher: John Wiley and Sons
• Year: 2005
• Tongue: English
• Weight: 168 KB
• Volume: 81
• Category: Article
• ISSN: 0360-4012
• DOI: 10.1002/jnr.20590

✦ Synopsis

Abstract

Matrix‐assisted laser desorption/ionization time‐of‐flight mass spectrometry (MALDI MS) can detect substantial changes in expression of proteins in tissues, such as cancer cells. A more challenging problem is detecting the smaller changes expected in normal development or complex diseases. Here we address methodological issues regarding the acquisition and analysis of MALDI MS data from tissue sections, in a study of mouse cerebellum at different stages of development. Sections of the cerebellar cortex were analyzed at the peak of granule neuron production [postnatal day (P) 7], during synapse formation (P14), and in adults. Data were acquired (Voyager‐DE™ STR Biospectrometry Workstation; seven acquisitions of 50 shots per section, 3.5–50 kDa), preprocessed (Data Explorer 4.3), and averaged. Among 846 peaks detected, in at least 50% of at least one group, 122 showed significant group differences (Kruskal‐Wallis ANOVA) after Bonferroni correction. Factor analyses revealed two age‐related factors, possibly reflecting gradients of expression during development. Predictive analysis of microarrays generated a model from half of the sample that correctly predicted developmental groups for the second half. Intraclass correlation coefficients, measuring within‐mouse consistency of peak heights from three tissue sections, were acceptable at lower m/z and for larger peaks at higher m/z. Low mass was the best predictor of significant group differences. The analysis demonstrates that MALDI MS of normal tissue sections at different ages can detect consistent, significant group differences. Further work is needed to increase the sensitivity of the methods and to apply them reliably to brain regions and to subproteomes with relevance to diverse brain functions and diseases. © 2005 Wiley‐Liss, Inc.